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- #pragma once
- // @generated by torchgen/gen.py from Function.h
- #include <ATen/Context.h>
- #include <ATen/DeviceGuard.h>
- #include <ATen/TensorUtils.h>
- #include <ATen/TracerMode.h>
- #include <ATen/core/Generator.h>
- #include <ATen/core/Reduction.h>
- #include <ATen/core/Tensor.h>
- #include <c10/core/Scalar.h>
- #include <c10/core/Storage.h>
- #include <c10/core/TensorOptions.h>
- #include <c10/util/Deprecated.h>
- #include <c10/util/Optional.h>
- #include <ATen/ops/linalg_tensorsolve_ops.h>
- namespace at {
- // aten::linalg_tensorsolve(Tensor self, Tensor other, int[]? dims=None) -> Tensor
- inline at::Tensor linalg_tensorsolve(const at::Tensor & self, const at::Tensor & other, at::OptionalIntArrayRef dims=c10::nullopt) {
- return at::_ops::linalg_tensorsolve::call(self, other, dims);
- }
- // aten::linalg_tensorsolve.out(Tensor self, Tensor other, int[]? dims=None, *, Tensor(a!) out) -> Tensor(a!)
- inline at::Tensor & linalg_tensorsolve_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other, at::OptionalIntArrayRef dims=c10::nullopt) {
- return at::_ops::linalg_tensorsolve_out::call(self, other, dims, out);
- }
- // aten::linalg_tensorsolve.out(Tensor self, Tensor other, int[]? dims=None, *, Tensor(a!) out) -> Tensor(a!)
- inline at::Tensor & linalg_tensorsolve_outf(const at::Tensor & self, const at::Tensor & other, at::OptionalIntArrayRef dims, at::Tensor & out) {
- return at::_ops::linalg_tensorsolve_out::call(self, other, dims, out);
- }
- }
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